"IRIS: Interpretable Retrieval-Augmented Classification for Long ..."

Fengnan Li et al. (2025)

> Home

Details and statistics

DOI: —

access: open

type: Conference or Workshop Paper

metadata version: 2025-07-24

- view
  - electronic edition @ aclanthology.org (open access)
- export record
  dblp key:
  - conf/acl/LiHSGE25
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/acl/LiHSGE25
Fengnan Li, Elliot D. Hill, Jiang Shu, Jiaxin Gao, Matthew M. Engelhard:
IRIS: Interpretable Retrieval-Augmented Classification for Long Interspersed Document Sequences. ACL (1) 2025: 30263-30283

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.